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Efficient Rotation-Invariant Boundary Image Matching Using the Triangular Inequality  

Moon, Yang-Sae (강원대학교 컴퓨터과학)
Kim, Sang-Pil (강원대학교 컴퓨터과학)
Kim, Bum-Soo (강원대학교 컴퓨터과학)
Loh, Woong-Kee (성결대학교 멀티미디어학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.16, no.10, 2010 , pp. 949-954 More about this Journal
Abstract
Computing the rotation-invariant distance between image time-series is a time-consuming process that incurs a lot of Euclidean distances for all possible rotations. In this paper we propose an innovative solution that significantly reduces the number of Euclidean distances using the triangular inequality. To this end, we first present the notion of self rotation distance and show that, by using the self rotation distance with the triangular inequality, we can prune many unnecessary distance computations. We next present that only one self-rotation is enough for all self-rotation distances required. Experimental results show that our self rotation distance-based methods outperform the existing methods by up to an order of magnitude.
Keywords
boundary image matching; data mining; rotation-invariant distance; triangular inequality;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 E. J. Keogh, L. Wei, X. Xi, M. Vlachos, S.-H. Lee, and P. Protopapas, "Supporting Exact Indexing of Arbitrarily Rotated Shapes and Periodic Time Series under Euclidean and Warping Distance Measures," The VLDB Journal, vol.18, no.3, pp.611-630, June 2009.   DOI   ScienceOn
2 J.-I. Won, S.-K. Hong, J.-H. Yoon, S.-H. Park and S.-W. Kim, "A Practical Approximate Sub-Sequence Search Method for DNA Sequence Databases," Journal of KIISE : Databases, vol.34, no.2, pp.119-132, Apr. 2007. (in Korean)   과학기술학회마을
3 E. Keogh, "Exact Indexing of Dynamic Time Warping," In Proc. the 28th Int'l Conf. on Very Large Data Bases, Hong Kong, pp.406-417, Aug. 2002.
4 W.-K. Loh, Y.-H. Park, and Y.-I. Yoon, "Fast Recognition of Asian Characters Based on Database Methodologies," In Proc. the 24th British Nat'l Conf. on Databases, Glasgow, UK, pp.37-48, July 2007.
5 W. K. Pratt, Digital Image Processing, 4th Ed., Eastman Kodak Company, Rochester, New York, 2007.
6 SQUID: http://www.ee.surrey.ac.uk/CVSSP/demos/css/demo.html
7 M. Vlachos, Z. Vagena, P. S. Yu, and V. Athitsos, "Rotation Invariant Indexing of Shapes and Line Drawings," In Proc. of ACM Conf. on Information and Knowledge Management, Bremen, Germany, pp.131-138, Oct. 2005.
8 B.-S. Kim, Y.-S. Moon and J. Kim, "Noise Control Boundary Image Matching Using Time-Series Moving Average Transform," Journal of KIISE : Databases, vol.36, no.4, pp.247-342, Aug. 2009. (in Korean)   과학기술학회마을
9 R. C. Gonzalez and R. E. Woods, Digital Image Processing, 2nd Ed., Prentice Hall, New Jersey, 2002.